DYNAMIC RELATIONS BETWEEN MACROECONOMIC VARIABLES AND THE JAPANESE STOCK MARKET: AN APPLICATION OF A VECTOR ERROR CORRECTION MODEL

By employing the vector error correction model (VECM) in a system of seven equations, we find that the Japanese stock market is cointegrated with a group of six macroeconomic variables. The signs of the long-term elasticity coefficients of the macroeconomic variables on stock prices generally support the hypothesized equilibrium relations. Our findings are robust to different combinations of macroeconomic variables in six-dimension systems and two subperiods. Also, the VECM consistently outperforms the vector autoregressive model in forecasting ability.     

Futures trading volume as a determinant of prices in different momentum phases

Recent studies contend that trading volume has predictive power for ex ante stock prices, particularly small stocks that do not react quickly to macroeconomic information. This study postulates that a significant amount of macro-information that flows on to stock markets is derived from derivative markets. We examine the impact of short-term futures trading volume and prices on cash stock prices using a case study of 15-min data from the Australian stock index futures market which reports actual trading volume. After applying vector error correction modelling (VECM), variance decomposition and impulse functions, we conclude that futures prices provide a short-term information lead to stock prices that dominates trading volume effects. We also observe asymmetric changes in the impact of trading volume between bull and bear price momentum phases and after large trading volume shocks. These results suggest that, in future, studies on trading volume should control for the cross-correlation impact from derivative prices and the differential impact of trading phases.     

认购权证与标的股票间的价格相关关系实证研究

为系统分析我国认购权证市场与其标的股票市场间的价格相关关系，发现权证市场与股票市场间的联系。本文以12组样本认购权证目收盘价和标的股票的目收盘价为观测对象，运用ADF单位根检验、Johansen协整检验、向量误差修正模型（VECM）、Granger因果检验和Hasbrouck方差分解方法，考察了两个时序数列间的长期均衡关系、短期动态关系、Granger因果关系和两市在价格发现功能中作用的大小、反映信息的效率，得出了研究结论。     

中国股市和债市波动的溢出效应——基于交易所和银行间市场的实证研究

由于我国股市和债市的相对分割,使得对其波动溢出关系的探讨对研究市场间资源配置、信息流动等有更深远的意义.在构建股市和债市DVAR模型的基础上,利用Wald和LR检验发现,两市存在波动溢出效应,但整体溢出影响较低.通过VECM模型分析交易所和银行间债券市场与股市之间的内在渡动关系,发现交易所市场较银行间市场对股市波动影响更大,而银行间市场受交易所市场波动更剧烈.总的来看,我国目前金融资源在两市配置效率较低,资本和投资主体未形成有效连动体系,市场风险难以释放分散,因此需构筑市场之间的协调互动机制.     

人民币汇率与我国股价、房价的联动关系研究

近年来,我国人民币汇率形成机制、股票市场和房地产市场发生了巨大变化,人民币汇率和股价、房价之间的信息传导和波动关联备受瞩目。本文采用VAR-MGARCH-BEKK模型,分析了我国人民币汇率、股价和房价之间的联动关系。研究结果表明,从波动的溢出效应来看,人民币汇率的波动率、股票价格的增长率和房地产价格的增长率之间存在非常明显的波动溢出效应;从资产价格的水平影响来看,人民币汇率与股票价格、房地产价格等国内资产价格的水平相关性较弱,而股票价格对房地产价格的影响较明显,并就该结论提出了相关的理论解释和政策建议。     

Asymmetric dynamic relations between stock prices and mutual fund units in Japan. An application of hidden cointegration technique

This paper examines “causality” effects between mutual fund flows and stock index prices in Japan. In particular, both the short and long run dynamics between stock prices and fund units are investigated. The novelty of our paper is the use of the hidden cointegration technique which attempts to capture heterogeneous fund flow reactions when stock index prices move up or down. Moreover, we employ the crouching error correction model (CECM) to assess the relationship between stock market movements and fund flow changes. The results show that stock prices and mutual fund units are cointegrated. In the case of positive movements there is a bi-directional effect interconnecting them, whereas for negative movements, causality runs only from fund flows to stock prices. The dynamics structure provides evidence that market microstructure, taxation and investors' sentiment affect stock price and unit formation.     

中国股指期货“助涨助跌效应”实证研究

利用E-G两部法协整检验、向量误差修正模型、VAR模型、Granger因果性检验及脉冲响应和方差分解全面剖析了股指期货与现货市场之间的联动性。实证研究结果表明股指期货和股票指数之间存在长期的均衡关系,股票指数短期的过度偏离会导致长期非均衡误差的弱势修正,当市场受到确定性信息冲击时,股票期货市场对股票现货市场具有助涨助跌作用;当市场受到不确定信息冲击时,股票现货市场对股票期货市场具有助涨助跌作用。     

An Empirical Examination of the Price-Dividend Relation with Dividend Management

Some recent empirical evidence suggests that stock prices are not properly modeled as the present discounted value of expected dividends. In this paper, we estimate a present value model of stock price that is capable of explaining the observed long-term trends in stock prices. The model recognizes that firm managers control cash dividend payments. The model estimates indicate that stock price movements may be explained by managerial behavior.     

Long-Term Co-Memories and Short-Run Adjustment: Securitized Real Estate and Stock Markets

This study considers whether securitized real estate and stock markets have long-term co-memories and implications for short-term adjustment. Our results offer reasonable support for fractional cointegration (characteristic of a long memory process) between securitized real estate price, stock market price and key macroeconomic factors in some economies. The implication is that where fractional cointegration prevails, securitized real estate and common stocks are substitutable assets over the long run and these assets may not be held together in a portfolio for diversification purpose. Furthermore, short-run analysis indicates that the speed of adjustment towards the long-run equilibrium is faster for fractional integrated vector error correction model (FIVECM) than VECM as the former incorporates a long history of past cointegration residuals. Additional comparisons of the two models’ forecasting accuracy show that incorporating fractional cointegration in a VECM model improves the forecasting performance over conventional VECM models. Our results reinforce the notion that cointegration, fractional cointegration and short-run adjustment dynamics are important in understanding market integration/segmentation.     

清洁发展机制下核证减排量的定价分析

本文考察了中国清洁发展机制一级市场上核证减排量(pCER)的定价机制,运用VECM 模型分析了碳排放配额(EUA)与二级市场上核证减排量(sCER)的关系,运用NW OLS多元回归模型分析了影响sCER价格的因素.研究结果表明,pCER的价格由发达国家的投资者主导,买卖双方的风险与收益不匹配;二级市场上sCER的价格与...     

LONG-TERM AND SHORT-TERM CAUSAL RELATIONS BETWEEN DIVIDENDS AND STOCK PRICES: A TEST OF LINTNER'S DIVIDEND MODEL AND THE PRESENT VALUE MODEL OF STOCK PRICES

In this paper we test the joint implications for the intertemporal behavior of stock prices and dividends expressed in the Lintner dividend model and the present value model of stock prices. We use macro data corresponding to quarterly S&P 500 index prices and dividends for January 1930–December 1990. The methodology used is the error correction model (ECM), which allows testing for long-term and short-term relations between the two variables. Results from the ECM indicate that a long-term equilibrium relation exists between dividends and stock prices, and that an error correction mechanism is at work when a disequilibrium exits between the two variables. Stock prices and dividends also influence each other in the short term. Finally, the results show that dividends and stock prices exhibit a contemporaneous causal relation.     

MONETARY AND FISCAL POLICIES AND STOCK PRICES

Investigations into business cycles have found money supply to be a lead variable to stock prices. However, some would argue that the stock market, being efficient, anticipates money supply changes and therefore, stock prices are lead variables to money supply changes. Recent developments in time series methods have facilitated the testing of these relationships through identifying bivariate and multivariate autoregressive models. However, in many cases, the results using different procedures contradict themselves and are in conflict with theoretical reasonings. In this paper the causal relationship is tested between fiscal and monetary policies and stock prices using Canadian data and bivariate andmultivariate autoregressive models.     

Home country macroeconomic factors on outward cross-border mergers and acquisitions: Evidence from the UK

In this paper, we examine the dynamic effects of key macroeconomic factors on the UK crossborder mergers and acquisitions (CBM&A) outflows over the period 1987–2008. Using a seven variable vector autoregressive/vector error correction models (VAR/VECM), the study finds that a number of home country macroeconomic variables, including GDP, broad money supply, stock prices and real effective exchange rate exert a positive and significant influence in explaining the CBM&A outflows by the UK firms. However, inflation rates and interest rates tend to have a negative impact on the volume of CBM&A. The findings support the notion that home country macroeconomic factors can create advantages to improve the outward Cross-border M&A activities.     

中国的股票价格波动及货币政策反应

本文在阐述中国的股票价格波动情况及成因的基础上，分析中国股票价格的信息功能，并对中国的股票价格与各层次货币供应量进行协整和Granger因果检验。结果表明，从总体上看，中国的股票价格在1995年之后，具备一定的信息功能；股票价格与各层次货币供应量之间存在协整、因果关系。由此，货币当局应对股票价格波动做出反应。文章以前瞻性利率规则为基础，运用IS—PC—AP模型，采用GMM法估计出中国包含股票价格因素的货币政策反应函数。     

经典波动模型下的最优债券投资组合

文章认为,由于利率和股价兼有相同的趋势性和波动性属性,股价经典波动模型对利率建模具有研究价值。通过引入经典的波动模型,结合极大似然估计的方法,本文探讨了无风险债券的最优投资方案,并将该成果运用于全球主要国债市场进行实证模拟投资,结果表明,该模型在全球主要国债市场均能取得较好的超额收益。     

我国货币政策对股票市场收益率影响的实证研究

为检验我国货币政策对股票市场的有效性,本文在经典理论的基础上,运用协整检验、格兰杰因果检验、VECM检验方法,对货币政策与股票市场收益率关系进行实证分析。研究结果表明：货币供应量增长率与股票市场收益率呈正相关关系,但长期内影响效果不显著;利率的调整在短期内对股票收益率的影响较为显著,在长期内则表现为平稳,两者关系符合一般金融理论;进一步地,采用虚拟变量回归模型,分析了货币政策环境变化对收益率大小的影响。笔者根据我国的国情,分析这种传导效应的结果,做出了相应的判断,并对如何解决货币政策对股票市场传导中存在的问题提出了自己的看法。     

A hyperbolic diffusion model for stock prices

In the present paper we consider a model for stock prices which is a generalization of the model behind the Black–Scholes formula for pricing European call options. We model the log-price as a deterministic linear trend plus a diffusion process with drift zero and with a diffusion coefficient (volatility) which depends in a particular way on the instantaneous stock price. It is shown that the model possesses a number of properties encountered in empirical studies of stock prices. In particular the distribution of the adjusted log-price is hyperbolic rather than normal. The model is rather successfully fitted to two different stock price data sets. Finally, the question of option pricing based on our model is discussed and comparison to the Black–Scholes formula is made. The paper also introduces a simple general way of constructing a zero-drift diffusion with a given marginal distribution, by which other models that are potentially useful in mathematical finance can be developed.     

INTERTEMPORAL ASSET PRICING WITHOUT CONSUMPTION DATA: EMPIRICAL TESTS

In this paper I conduct tests of an intertemporal asset pricing model using variables that forecast stock returns as the risk factors. I document that the forecasting variables are priced so that expected excess returns are related to their conditional covariances with the forecasting variables. The variability in the covariance risk fails to explain the cross-sectional and time-series variation in expected stock returns. Evidence rejects restrictions on the prices of covariance risk imposed by the model with constant volatilities. I also find that an extended model that allows time-varying conditional volatilities is misspecified.     

How do oil supply and demand shocks affect Asian stock markets?

This paper examines how oil market shocks affect Asian stock prices using the structural vector autoregression (VAR) approach. Global oil supply and demand shocks are disentangled using sign restrictions and elasticity bounds. Oil price increases are bad news only if the source is from oil-market-specific demand shifts. Northeast Asian stock markets are more resilient as investors’ expectation of continued economic growth outweighs the adverse effect of higher oil prices. Increased global economic activity also stimulates stock prices. Global oil shocks are more important in explaining variability in Asian stock returns compared with the United States, suggesting different dynamics in Asia.     

The generation of stock market cycles

This paper demonstrates that the relation between stock market and business cycle dynamics can be conceptualized using a dividend discount model. The interaction of changes in earnings and interest rates throughout the economic cycle are shown to cause changes in the level of stock prices. This implies that monitoring and forecasting these factors can help explain and possibly predict stock price behavior over time.